Yoav Artzi
Yoav Artzi is a computer scientist whose research develops models for natural-language understanding and generation in interactive systems. He earned a bachelor's degree in computer science at Tel Aviv University in 2008 and a PhD at the University of Washington in 2015, then joined Cornell's College of Computing and Information Science as an assistant professor in 2015. His work includes a 2013 weakly supervised semantic parser for instructions and the 2019 Touchdown task for visual street navigation. He received an NSF CAREER award and Cornell's 2024 Bowers Research Excellence Award; his 2013 paper earned a 2025 TACL Test of Time Award. As of October 2026, he is an associate professor at Cornell and a visiting researcher at Google DeepMind.
- Now at
- Cornell University and Google DeepMind
- Works
- 119
Publication numbers from OpenAlex, as of 27 October 2026. Citations and h-index are hidden because this OpenAlex record may be incomplete or mix in other authors.
Timeline
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2008–2015
Degrees in computer science
He earns a B.Sc. in computer science at Tel Aviv University in 2008 and a Ph.D. at the University of Washington in 2015.
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2013
A semantic parser for instructions
With Luke Zettlemoyer, he publishes “Weakly Supervised Learning of Semantic Parsers for Mapping Instructions to Actions” in 2013. Their grounded CCG parser learns a joint model of meaning and context to interpret and execute natural-language instructions using weak supervision.
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2015
Joining Cornell faculty
He joins Cornell's College of Computing and Information Science as an assistant professor of computer science in 2015.
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2018
An NSF CAREER award
Artzi receives the NSF Faculty Early Career Development Award in 2018. His project studies how natural-language understanding can improve the quality and accessibility of autonomous systems, including self-driving cars, drones, and robots surveying disaster areas.
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2019
The Touchdown task and dataset
He coauthors the Touchdown task and dataset in 2019 with Howard Chen, Alane Suhr, Dipendra Misra, and Noah Snavely. It pairs navigation instructions and spatial descriptions with a Street View task in which agents reach a goal and identify a location described in language.
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2024
A Bowers research award
Artzi receives one of Cornell's 2024 Ann S. Bowers ’59 Research Excellence Awards for his research contributions.
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2025
TACL Test of Time Award
In 2025, Artzi and Luke Zettlemoyer receive the TACL Test of Time Award for their 2013 paper on semantic parsers for mapping instructions to actions.
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As of October 2026
Professor and visiting researcher
As of October 2026, he is an associate professor in Cornell's Department of Computer Science and Cornell Tech, and a visiting researcher at Google DeepMind. His research develops models and learning methods for natural-language understanding and generation in interactive systems.
Career
- NowCornell UniversityAssociate professor
- NowGoogle DeepMindVisiting researcher
Education
- 2015University of WashingtonPh.D.
- 2008Tel Aviv UniversityB.Sc. in computer science
Sources and credits
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- Meet new members of the Cornell faculty, 2015-16
- Weakly Supervised Learning of Semantic Parsers for Mapping Instructions to Actions
- Yoav Artzi | Department of Computer Science | Cornell Bowers
- Thirteen assistant professors win NSF early-career awards
- TOUCHDOWN: Natural Language Navigation and Spatial Reasoning in Visual Street Environments
- Ann S. Bowers ’59 Research Excellence Awards
- 2025Q3 Reports: TACL Journal Editor - Admin Wiki
- Yoav Artzi


